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February 5, 2022Engineering MAthematics and Computer Science (EMACS) Journal16 citationsOpen Access

Systematic Literature Review: Instagram Fake Account Detection Based on Machine Learning

JEJuandreas EzarfelixNJNathannael JeffreyNSNovita Sari

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Abstract

The popularity of social media continues to grow, and its dominance of the entire world has become one of the aspects of modern life that cannot be ignored. The rapid growth of social media has resulted in the emergence of ecosystem problems. Hate speech, fraud, fake news, and a slew of other issues are becoming un-stoppable. With over 1.7 billion fake accounts on social media, the losses have al-ready been significant, and removing these accounts will take a long time. Due to the growing number of Instagram users, the need for identifying fake accounts on social media, specifically in Instagram, is increasing. Because this process takes a long time if done manually by humans, we can now use machine learning to identify fake accounts thanks to the rapid development of machine learning. We can detect fake accounts on Instagram using machine learning by implementing the combination of image detection and natural language processing.

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Ezarfelix et al. (2022) studied this question.

synapsesocial.com/papers/6a161770b15b6799671960b8https://doi.org/10.21512/emacsjournal.v4i1.8076
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Using Machine Learning to Detect Fake Identities: Bots vs Humans2018 · 181 citations
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